Instructions to use iamthe66epitaph/BabyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamthe66epitaph/BabyAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iamthe66epitaph/BabyAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iamthe66epitaph/BabyAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # file generated by setuptools-scm | |
| # don't change, don't track in version control | |
| __all__ = ["__version__", "__version_tuple__", "version", "version_tuple"] | |
| TYPE_CHECKING = False | |
| if TYPE_CHECKING: | |
| from typing import Tuple | |
| from typing import Union | |
| VERSION_TUPLE = Tuple[Union[int, str], ...] | |
| else: | |
| VERSION_TUPLE = object | |
| version: str | |
| __version__: str | |
| __version_tuple__: VERSION_TUPLE | |
| version_tuple: VERSION_TUPLE | |
| __version__ = version = '3.19.1' | |
| __version_tuple__ = version_tuple = (3, 19, 1) | |